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Luca Oneto

Showing results (1-10 of 24) with videos related to

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IEEE/ACM Transactions on Computational Biology and Bioinformatics|December 1, 2020
An Enhanced Random Forests Approach to Predict Heart Failure From Small Imbalanced Gene Expression DataDavide Chicco, Luca Oneto
Health Informatics Journal|January 28, 2021
Computational intelligence identifies alkaline phosphatase (ALP), alpha-fetoprotein (AFP), and hemoglobin levels as most predictive survival factors for hepatocellular carcinomaDavide Chicco, Luca Oneto
Plos Computational Biology|January 9, 2025
Eight quick tips for biologically and medically informed machine learningLuca Oneto, Davide Chicco
Biodata Mining|February 4, 2021
Data analytics and clinical feature ranking of medical records of patients with sepsisDavide Chicco, Luca Oneto
Entropy (Basel, Switzerland)|January 15, 2021
Distribution-Dependent Weighted Union BoundLuca Oneto, Sandro Ridella
Studies in Health Technology and Informatics|May 23, 2026
DBSCAN Applied to EHRs Data from Patients with Glioblastoma Finds Clusters Based on Cytosolic Hsp70 Protein, Sex, and Brain Subventricular ZoneDavide Chicco, Luca Oneto
Plos Computational Biology|October 30, 2025
Nine quick tips for trustworthy machine learning in the biomedical sciencesLuca Oneto, Davide Chicco
Plos Computational Biology|December 15, 2022
Eleven quick tips for data cleaning and feature engineeringDavide Chicco, Luca Oneto, Erica Tavazzi
Biodata Mining|June 12, 2025
DBSCAN and DBCV application to open medical records heterogeneous data for identifying clinically significant clusters of patients with neuroblastomaDavide Chicco, Luca Oneto, Davide Cangelosi
Biodata Mining|March 27, 2026
DBSCAN applied to EHRs data from patients with glioblastoma clusters patients based on cytosolic Hsp70 protein, sex, and brain subventricular zoneDavide Chicco, Srinjoy Dora, Luca Oneto
Pageof 3

Showing results (1-10 of 24) with videos related to

Sort By:
Pageof 3
IEEE/ACM Transactions on Computational Biology and Bioinformatics|December 1, 2020
An Enhanced Random Forests Approach to Predict Heart Failure From Small Imbalanced Gene Expression DataDavide Chicco, Luca Oneto
Health Informatics Journal|January 28, 2021
Computational intelligence identifies alkaline phosphatase (ALP), alpha-fetoprotein (AFP), and hemoglobin levels as most predictive survival factors for hepatocellular carcinomaDavide Chicco, Luca Oneto
Plos Computational Biology|January 9, 2025
Eight quick tips for biologically and medically informed machine learningLuca Oneto, Davide Chicco
Biodata Mining|February 4, 2021
Data analytics and clinical feature ranking of medical records of patients with sepsisDavide Chicco, Luca Oneto
Entropy (Basel, Switzerland)|January 15, 2021
Distribution-Dependent Weighted Union BoundLuca Oneto, Sandro Ridella
Studies in Health Technology and Informatics|May 23, 2026
DBSCAN Applied to EHRs Data from Patients with Glioblastoma Finds Clusters Based on Cytosolic Hsp70 Protein, Sex, and Brain Subventricular ZoneDavide Chicco, Luca Oneto
Plos Computational Biology|October 30, 2025
Nine quick tips for trustworthy machine learning in the biomedical sciencesLuca Oneto, Davide Chicco
Plos Computational Biology|December 15, 2022
Eleven quick tips for data cleaning and feature engineeringDavide Chicco, Luca Oneto, Erica Tavazzi
Biodata Mining|June 12, 2025
DBSCAN and DBCV application to open medical records heterogeneous data for identifying clinically significant clusters of patients with neuroblastomaDavide Chicco, Luca Oneto, Davide Cangelosi
Biodata Mining|March 27, 2026
DBSCAN applied to EHRs data from patients with glioblastoma clusters patients based on cytosolic Hsp70 protein, sex, and brain subventricular zoneDavide Chicco, Srinjoy Dora, Luca Oneto
Pageof 3